Cyber
Secure by design isn’t a slogan - it’s a delivery practice
Embedding security thinking into product teams without slowing them to a crawl.
Read article →The patterns in this article come from our work with large enterprises across regulated and fast-moving sectors. The aim is not to be exhaustive - it is to surface the handful of decisions we see making the biggest difference in practice.
1. The convergence is real, but uneven
The line between data warehouses and lakehouses has blurred meaningfully in the last two years. Both can serve BI, ML and operational analytics - but their strengths still diverge for very large data volumes, semi-structured workloads and open-format portability.
2. Start from your data, not the vendor matrix
Profile your largest, most painful workloads first. The platform that is right for a 200 TB clickstream is rarely the same as the one that is right for a 2 TB regulatory reporting workload. Treat the two as separate decisions if you need to.
3. Optimise for portability, not lock-in
Open table formats (Iceberg, Delta, Hudi) and standard query layers let you defer the “forever” decision and re-platform at lower cost later. For most enterprises that flexibility is worth a small short-term performance trade-off.
4. Governance is the silent winner
Whichever way the architecture goes, the platform that wins inside the enterprise is usually the one with the better governance, lineage and access control story. Performance benchmarks fade; audit and compliance pressure does not.
Where to start
If any of the above resonates with what you are working through, we are always happy to compare notes - without obligation. Email is the best way to reach us: customerservices@halfteck.com.